Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	3652
Missing cells	597
Missing cells (%)	0.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	513.7 KiB
Average record size in memory	144.0 B

Variable types

NUM	13
CAT	3
BOOL	2

Warnings

`Temperature_Max` is highly correlated with `Temperature_Midday` and 2 other fields	High correlation
`Temperature_Midday` is highly correlated with `Temperature_Max` and 2 other fields	High correlation
`Temperature_Min` is highly correlated with `Temperature_Midday` and 2 other fields	High correlation
`Temperature_Evening` is highly correlated with `Temperature_Midday` and 2 other fields	High correlation
`Special_Event` is highly correlated with `Holiday`	High correlation
`Holiday` is highly correlated with `Special_Event`	High correlation
`Snow_5Days` has 565 (15.5%) missing values	Missing
`Day` is uniformly distributed	Uniform
`Sunshine_Percentage` has 807 (22.1%) zeros	Zeros
`Snow_5Days` has 2793 (76.5%) zeros	Zeros
`Temperature_Deviation` has 43 (1.2%) zeros	Zeros
`Precipiation_5Days` has 511 (14.0%) zeros	Zeros
`Precipiation` has 1876 (51.4%) zeros	Zeros

Reproduction

Analysis started	2020-09-21 11:19:44.267315
Analysis finished	2020-09-21 11:20:14.190022
Duration	29.92 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Passengers
Real number (ℝ_≥0)

Distinct	3045
Distinct (%)	83.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6387.8023
Minimum	0
Maximum	34878
Zeros	33
Zeros (%)	0.9%
Memory size	28.5 KiB

Quantile statistics

Minimum	0
5-th percentile	825
Q1	1547
median	4029
Q3	9771
95-th percentile	18593.95
Maximum	34878
Range	34878
Interquartile range (IQR)	8224

Descriptive statistics

Standard deviation	6033.488385
Coefficient of variation (CV)	0.9445327362
Kurtosis	0.9687784571
Mean	6387.8023
Median Absolute Deviation (MAD)	2909
Skewness	1.236183308
Sum	23328254
Variance	36402982.09
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	33	0.9%
1010	5	0.1%
1525	5	0.1%
1625	5	0.1%
1241	5	0.1%
1057	4	0.1%
939	4	0.1%
1623	4	0.1%
902	4	0.1%
1418	4	0.1%
Other values (3035)	3579	98.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	0.9%
24	1	< 0.1%
54	1	< 0.1%
523	1	< 0.1%
544	1	< 0.1%

Value	Count	Frequency (%)
34878	1	< 0.1%
31326	1	< 0.1%
30549	1	< 0.1%
30415	1	< 0.1%
30174	1	< 0.1%

Revision
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.5 KiB

0	3617
1	35

Common Values
Chart

Value	Count	Frequency (%)
0	3617	99.0%
1	35	1.0%

Temperature_Midday
Real number (ℝ)

HIGH CORRELATION

Distinct	383
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.84942497
Minimum	-11.2
Maximum	32.7
Zeros	6
Zeros (%)	0.2%
Memory size	28.5 KiB

Quantile statistics

Minimum	-11.2
5-th percentile	-0.9
Q1	6
median	13.3
Q3	19.5
95-th percentile	26.4
Maximum	32.7
Range	43.9
Interquartile range (IQR)	13.5

Descriptive statistics

Standard deviation	8.509758988
Coefficient of variation (CV)	0.6622676895
Kurtosis	-0.8275978816
Mean	12.84942497
Median Absolute Deviation (MAD)	6.7
Skewness	-0.04654652102
Sum	46926.1
Variance	72.41599803
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.4	23	0.6%
19.5	23	0.6%
19	22	0.6%
18.5	22	0.6%
19.2	21	0.6%
16.7	21	0.6%
10.2	21	0.6%
15.4	21	0.6%
16.9	21	0.6%
14.3	21	0.6%
Other values (373)	3436	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-11.2	1	< 0.1%
-11	1	< 0.1%
-10.8	1	< 0.1%
-10	1	< 0.1%
-9.6	1	< 0.1%

Value	Count	Frequency (%)
32.7	1	< 0.1%
32.5	2	0.1%
32.3	1	< 0.1%
32.2	1	< 0.1%
32	2	0.1%

Sunshine_Percentage
Real number (ℝ_≥0)

ZEROS

Distinct	103
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	37.03216053
Minimum	0
Maximum	101
Zeros	807
Zeros (%)	22.1%
Memory size	28.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.75
median	28
Q3	68
95-th percentile	98
Maximum	101
Range	101
Interquartile range (IQR)	66.25

Descriptive statistics

Standard deviation	34.98270198
Coefficient of variation (CV)	0.9446573324
Kurtosis	-1.221677876
Mean	37.03216053
Median Absolute Deviation (MAD)	28
Skewness	0.4849864348
Sum	135241.4502
Variance	1223.789438
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	807	22.1%
1	106	2.9%
100	89	2.4%
99	79	2.2%
3	64	1.8%
2	55	1.5%
98	48	1.3%
97	46	1.3%
14	45	1.2%
4	43	1.2%
Other values (93)	2270	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	807	22.1%
1	106	2.9%
2	55	1.5%
3	64	1.8%
4	43	1.2%

Value	Count	Frequency (%)
101	2	0.1%
100	89	2.4%
99	79	2.2%
98	48	1.3%
97	46	1.3%

Snow_5Days
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	32
Distinct (%)	1.0%
Missing	565
Missing (%)	15.5%
Infinite	0
Infinite (%)	0.0%

Mean	0.7884677681
Minimum	0
Maximum	36
Zeros	2793
Zeros (%)	76.5%
Memory size	28.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5
Maximum	36
Range	36
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.379960264
Coefficient of variation (CV)	4.286745002
Kurtosis	42.86467956
Mean	0.7884677681
Median Absolute Deviation (MAD)	0
Skewness	6.047057175
Sum	2434
Variance	11.42413138
Monotocity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
0	2793	76.5%
2	37	1.0%
5	36	1.0%
3	26	0.7%
1	25	0.7%
4	24	0.7%
10	19	0.5%
6	18	0.5%
9	17	0.5%
8	15	0.4%
Other values (22)	77	2.1%
(Missing)	565	15.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2793	76.5%
1	25	0.7%
2	37	1.0%
3	26	0.7%
4	24	0.7%

Value	Count	Frequency (%)
36	1	< 0.1%
35	2	0.1%
34	2	0.1%
32	2	0.1%
30	4	0.1%

Temperature_Deviation
Real number (ℝ)

ZEROS

Distinct	188
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.153313253
Minimum	-12
Maximum	14.6
Zeros	43
Zeros (%)	1.2%
Memory size	28.5 KiB

Quantile statistics

Minimum	-12
5-th percentile	-4.345
Q1	-1.1
median	1.3
Q3	3.5
95-th percentile	6.5
Maximum	14.6
Range	26.6
Interquartile range (IQR)	4.6

Descriptive statistics

Standard deviation	3.352714264
Coefficient of variation (CV)	2.907028299
Kurtosis	0.0291209036
Mean	1.153313253
Median Absolute Deviation (MAD)	2.3
Skewness	-0.1429645275
Sum	4211.9
Variance	11.24069294
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	53	1.5%
1.6	51	1.4%
2.1	49	1.3%
3.3	49	1.3%
3	49	1.3%
1.1	48	1.3%
2.6	47	1.3%
3.4	46	1.3%
2.9	45	1.2%
0.2	45	1.2%
Other values (178)	3170	86.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-12	1	< 0.1%
-11.7	1	< 0.1%
-11.6	1	< 0.1%
-11.3	1	< 0.1%
-10.8	2	0.1%

Value	Count	Frequency (%)
14.6	2	0.1%
11.3	1	< 0.1%
11.2	2	0.1%
11	1	< 0.1%
10.9	2	0.1%

Temperature_Max
Real number (ℝ)

HIGH CORRELATION

Distinct	391
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	14.61771632
Minimum	-9.3
Maximum	34.9
Zeros	4
Zeros (%)	0.1%
Memory size	28.5 KiB

Quantile statistics

Minimum	-9.3
5-th percentile	0.2
Q1	7.5
median	15.1
Q3	21.5
95-th percentile	28.3
Maximum	34.9
Range	44.2
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.801185208
Coefficient of variation (CV)	0.6020903003
Kurtosis	-0.8390175138
Mean	14.61771632
Median Absolute Deviation (MAD)	6.9
Skewness	-0.07894840193
Sum	53383.9
Variance	77.46086107
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	26	0.7%
21.8	23	0.6%
10.4	22	0.6%
20.1	22	0.6%
18.6	21	0.6%
17.3	21	0.6%
19.5	21	0.6%
11.1	21	0.6%
24	21	0.6%
24.5	21	0.6%
Other values (381)	3433	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-9.3	1	< 0.1%
-9.1	1	< 0.1%
-9	1	< 0.1%
-8.7	1	< 0.1%
-8.5	1	< 0.1%

Value	Count	Frequency (%)
34.9	1	< 0.1%
34.8	1	< 0.1%
34.6	1	< 0.1%
34.5	2	0.1%
34.3	1	< 0.1%

Temperature_Min
Real number (ℝ)

HIGH CORRELATION

Distinct	304
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.212568456
Minimum	-16.1
Maximum	21.5
Zeros	15
Zeros (%)	0.4%
Memory size	28.5 KiB

Quantile statistics

Minimum	-16.1
5-th percentile	-4.4
Q1	0.6
median	6.4
Q3	11.8
95-th percentile	16.5
Maximum	21.5
Range	37.6
Interquartile range (IQR)	11.2

Descriptive statistics

Standard deviation	6.729163507
Coefficient of variation (CV)	1.083153217
Kurtosis	-0.8913467671
Mean	6.212568456
Median Absolute Deviation (MAD)	5.6
Skewness	-0.1184410974
Sum	22688.3
Variance	45.2816415
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.9	32	0.9%
0.5	30	0.8%
3.8	28	0.8%
8.4	27	0.7%
2.5	27	0.7%
-0.3	26	0.7%
-0.2	26	0.7%
0.6	25	0.7%
10.3	23	0.6%
3	23	0.6%
Other values (294)	3385	92.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-16.1	1	< 0.1%
-13.8	1	< 0.1%
-13.4	1	< 0.1%
-12.7	1	< 0.1%
-12.6	2	0.1%

Value	Count	Frequency (%)
21.5	1	< 0.1%
20.9	1	< 0.1%
20.5	1	< 0.1%
20.4	1	< 0.1%
19.9	1	< 0.1%

Temperature_Evening
Real number (ℝ)

HIGH CORRELATION

Distinct	377
Distinct (%)	10.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	11.55603944
Minimum	-10.7
Maximum	32.7
Zeros	13
Zeros (%)	0.4%
Memory size	28.5 KiB

Quantile statistics

Minimum	-10.7
5-th percentile	-1.345
Q1	4.6
median	11.9
Q3	18.1
95-th percentile	24.9
Maximum	32.7
Range	43.4
Interquartile range (IQR)	13.5

Descriptive statistics

Standard deviation	8.341949876
Coefficient of variation (CV)	0.7218692804
Kurtosis	-0.8752155081
Mean	11.55603944
Median Absolute Deviation (MAD)	6.8
Skewness	0.015468861
Sum	42202.65604
Variance	69.58812773
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	23	0.6%
3.7	22	0.6%
3.3	22	0.6%
6.7	21	0.6%
8.5	20	0.5%
17.2	20	0.5%
14.1	20	0.5%
5.6	20	0.5%
15.4	20	0.5%
1.1	20	0.5%
Other values (367)	3444	94.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-10.7	1	< 0.1%
-10.1	1	< 0.1%
-9.6	2	0.1%
-9.5	1	< 0.1%
-9.2	1	< 0.1%

Value	Count	Frequency (%)
32.7	1	< 0.1%
32	1	< 0.1%
31.6	1	< 0.1%
31.5	2	0.1%
31.4	1	< 0.1%

Precipiation_5Days
Real number (ℝ_≥0)

ZEROS

Distinct	629
Distinct (%)	17.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	16.77343921
Minimum	0
Maximum	113.7
Zeros	511
Zeros (%)	14.0%
Memory size	28.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.7
median	10.5
Q3	24.9
95-th percentile	54.8
Maximum	113.7
Range	113.7
Interquartile range (IQR)	23.2

Descriptive statistics

Standard deviation	19.07172298
Coefficient of variation (CV)	1.137019232
Kurtosis	3.219842168
Mean	16.77343921
Median Absolute Deviation (MAD)	10
Skewness	1.682689055
Sum	61256.6
Variance	363.7306173
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	511	14.0%
0.2	66	1.8%
0.1	45	1.2%
0.3	35	1.0%
0.5	26	0.7%
1.4	25	0.7%
0.8	25	0.7%
0.4	24	0.7%
7.1	24	0.7%
1.1	24	0.7%
Other values (619)	2847	78.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	511	14.0%
0.1	45	1.2%
0.2	66	1.8%
0.3	35	1.0%
0.4	24	0.7%

Value	Count	Frequency (%)
113.7	1	< 0.1%
113.2	1	< 0.1%
113	1	< 0.1%
112.4	1	< 0.1%
110.1	1	< 0.1%

Precipiation
Real number (ℝ_≥0)

ZEROS

Distinct	301
Distinct (%)	8.3%
Missing	13
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%

Mean	3.347513053
Minimum	0
Maximum	70.2
Zeros	1876
Zeros (%)	51.4%
Memory size	28.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3.1
95-th percentile	17.61
Maximum	70.2
Range	70.2
Interquartile range (IQR)	3.1

Descriptive statistics

Standard deviation	7.172589902
Coefficient of variation (CV)	2.142662266
Kurtosis	15.86812738
Mean	3.347513053
Median Absolute Deviation (MAD)	0
Skewness	3.465247569
Sum	12181.6
Variance	51.4460459
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1876	51.4%
0.1	124	3.4%
0.2	81	2.2%
0.3	60	1.6%
0.5	47	1.3%
0.4	42	1.2%
0.6	35	1.0%
0.8	29	0.8%
1.2	29	0.8%
0.9	29	0.8%
Other values (291)	1287	35.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1876	51.4%
0.1	124	3.4%
0.2	81	2.2%
0.3	60	1.6%
0.4	42	1.2%

Value	Count	Frequency (%)
70.2	1	< 0.1%
67.9	1	< 0.1%
63.6	1	< 0.1%
58.2	1	< 0.1%
57.8	1	< 0.1%

Wind
Real number (ℝ_≥0)

Distinct	245
Distinct (%)	6.7%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%

Mean	8.016350124
Minimum	2.2
Maximum	31.1
Zeros	0
Zeros (%)	0.0%
Memory size	28.5 KiB

Quantile statistics

Minimum	2.2
5-th percentile	3.6
Q1	4.8
median	6.4
Q3	9.8
95-th percentile	17.8
Maximum	31.1
Range	28.9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	4.659221494
Coefficient of variation (CV)	0.58121482
Kurtosis	3.290420095
Mean	8.016350124
Median Absolute Deviation (MAD)	1.9
Skewness	1.738259749
Sum	29123.4
Variance	21.70834493
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.3	85	2.3%
4.8	83	2.3%
5.5	83	2.3%
5.8	74	2.0%
4.7	73	2.0%
4.6	67	1.8%
6.3	67	1.8%
3.8	64	1.8%
5.2	63	1.7%
4.5	62	1.7%
Other values (235)	2912	79.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.2	2	0.1%
2.3	2	0.1%
2.4	1	< 0.1%
2.5	7	0.2%
2.6	8	0.2%

Value	Count	Frequency (%)
31.1	1	< 0.1%
30.5	1	< 0.1%
30.3	1	< 0.1%
30	1	< 0.1%
29.1	2	0.1%

Holiday
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.5 KiB

0	3502
1	149
6	1

Frequencies
Length

Value	Count	Frequency (%)
0	3502	95.9%
1	149	4.1%
6	1	< 0.1%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Special_Event
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.5 KiB

0	3502
1	150

Common Values
Chart

Value	Count	Frequency (%)
0	3502	95.9%
1	150	4.1%

Year
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2010.499726
Minimum	2006
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Memory size	28.5 KiB

Quantile statistics

Minimum	2006
5-th percentile	2006
Q1	2008
median	2010.5
Q3	2013
95-th percentile	2015
Maximum	2015
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.87229323
Coefficient of variation (CV)	0.001428646417
Kurtosis	-1.224127228
Mean	2010.499726
Median Absolute Deviation (MAD)	2.5
Skewness	0.0001444845368
Sum	7342345
Variance	8.250068399
Monotocity	Increasing

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2012	366	10.0%
2008	366	10.0%
2015	365	10.0%
2013	365	10.0%
2011	365	10.0%
2009	365	10.0%
2007	365	10.0%
2014	365	10.0%
2010	365	10.0%
2006	365	10.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2006	365	10.0%
2007	365	10.0%
2008	366	10.0%
2009	365	10.0%
2010	365	10.0%

Value	Count	Frequency (%)
2015	365	10.0%
2014	365	10.0%
2013	365	10.0%
2012	366	10.0%
2011	365	10.0%

Day_in_Month
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.72782037
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	28.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.800529314
Coefficient of variation (CV)	0.5595517437
Kurtosis	-1.193846831
Mean	15.72782037
Median Absolute Deviation (MAD)	8
Skewness	0.006914871984
Sum	57438
Variance	77.4493162
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	120	3.3%
28	120	3.3%
4	120	3.3%
6	120	3.3%
8	120	3.3%
10	120	3.3%
12	120	3.3%
14	120	3.3%
16	120	3.3%
18	120	3.3%
Other values (21)	2452	67.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	120	3.3%
2	120	3.3%
3	120	3.3%
4	120	3.3%
5	120	3.3%

Value	Count	Frequency (%)
31	70	1.9%
30	110	3.0%
29	112	3.1%
28	120	3.3%
27	120	3.3%

Day
Categorical

UNIFORM

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	28.5 KiB

Sunday	522
Monday	522
Thursday	522
Wednesday	522
Tuesday	522
Other values (2)	1042

Frequencies
Length

Value	Count	Frequency (%)
Sunday	522	14.3%
Monday	522	14.3%
Thursday	522	14.3%
Wednesday	522	14.3%
Tuesday	522	14.3%
Saturday	521	14.3%
Friday	521	14.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	7
Mean length	7.142935378
Min length	6

Month
Categorical

Distinct	12
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	28.5 KiB

July	310
August	310
March	310
October	310
January	310
Other values (7)	2102

Frequencies
Length

Common Values
Overview

Value	Count	Frequency (%)
July	310	8.5%
August	310	8.5%
March	310	8.5%
October	310	8.5%
January	310	8.5%
May	310	8.5%
December	310	8.5%
September	300	8.2%
April	300	8.2%
November	300	8.2%
Other values (2)	582	15.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	9
Median length	6
Mean length	6.148959474
Min length	3

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	Passengers	Temperature_Midday	Sunshine_Percentage	Snow_5Days	Temperature_Deviation	Temperature_Max	Temperature_Min	Temperature_Evening	Precipiation_5Days	Precipiation	Wind	Holiday	Special_Event	Year	Day_in_Month	Day	Month
0	2580	4.9	52.0	5.0	2.3	5.1	-0.8	0.9	12.1	4.6	9.9	1	1	2006	1	Sunday	January
1	1973	2.4	0.0	5.0	2.3	3.4	0.6	2.7	12.4	0.3	6.1	1	1	2006	2	Monday	January
2	1044	2.2	11.0	5.0	1.6	2.9	-1.6	1.8	12.4	0.0	5.3	0	0	2006	3	Tuesday	January
3	980	0.8	0.0	0.0	0.2	1.1	-1.0	0.6	10.3	0.0	6.4	0	0	2006	4	Wednesday	January
4	1139	-0.3	88.0	0.0	-1.8	0.9	-5.4	-3.2	0.3	0.0	4.5	0	0	2006	5	Thursday	January
5	1057	-2.7	0.0	0.0	-3.2	-1.8	-6.7	-2.9	0.3	0.0	5.1	0	0	2006	6	Friday	January
6	914	-2.4	0.0	0.0	-2.7	-1.8	-3.7	-3.2	0.0	0.0	4.4	0	0	2006	7	Saturday	January
7	1581	-2.8	0.0	0.0	-2.9	-1.9	-3.9	-2.7	0.0	0.0	4.4	0	0	2006	8	Sunday	January
8	808	-2.7	0.0	0.0	-2.9	-2.3	-4.0	-2.9	0.0	0.0	4.6	0	0	2006	9	Monday	January
9	792	-3.5	0.0	0.0	-3.3	-2.7	-4.8	-3.3	0.0	0.0	3.8	0	0	2006	10	Tuesday	January

Last rows

	Revision	Temperature_Midday	Sunshine_Percentage	Temperature_Deviation	Temperature_Max	Temperature_Min	Temperature_Evening	Precipiation_5Days	Precipiation	Wind	Holiday	Special_Event	Year	Day_in_Month	Day	Month
3642	1	9.0	81.0	4.0	10.1	1.9	5.2	4.6	0.0	3.3	0	0	2015	22	Tuesday	December
3643	1	9.3	85.0	3.3	10.3	-0.6	5.2	4.6	0.0	4.5	0	0	2015	23	Wednesday	December
3644	1	8.7	62.0	3.1	9.4	0.5	5.1	4.6	0.0	2.9	1	1	2015	24	Thursday	December
3645	1	10.2	100.0	3.3	11.3	0.3	4.1	4.6	0.0	3.2	1	1	2015	25	Friday	December
3646	1	7.6	100.0	1.5	9.0	-0.9	2.5	0.0	0.0	2.6	1	1	2015	26	Saturday	December
3647	1	8.1	99.0	1.1	9.3	-1.7	2.3	0.0	0.0	2.9	0	0	2015	27	Sunday	December
3648	1	1.2	0.0	-1.0	2.4	-2.1	0.4	0.0	0.0	2.7	0	0	2015	28	Monday	December
3649	1	1.2	19.0	0.2	3.9	-2.6	2.8	0.0	0.0	3.1	0	0	2015	29	Tuesday	December
3650	1	2.8	0.0	1.8	4.1	1.8	2.1	0.0	0.0	4.3	0	0	2015	30	Wednesday	December
3651	1	5.1	0.0	3.0	5.7	1.7	4.8	9.2	2.8	5.3	6	1	2015	31	Thursday	December

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows